Implementation and Deployment of Digital Twin in Cloud-Native Network

Abstract

AbstractVirtual-reality fusion is becoming increasingly important for innovative applications such as intelligent manufacturing. Digital twin (DT) is a promising method of realizing virtual-reality fusion by creating high-fidelity digital models of physical objects and interacting with them in real time. However, there is currently a lack of solutions for the implementationand deployment of digital twins on the network, which hinders the in-depth application of digital twins in related fields. In this paper, we propose a scheme for implementing and deploying digital twins in cloud-native networks, with the goal of supporting innovative virtual-reality fusion-based applications. We propose an adaptive organizational form of digital twin components that enables the distributed deployment and execution of digital twins in cloud-native networks and design a digital twin representation method based on the idea of objectoriented programming (OOP). In this scheme, we also design the naming and operation mechanisms for digital twins, and present the trust mechanism among the components of a digital twin using the Merkle tree. Furthermore, we propose an optimization strategy for deploying digital twin components in a cloud-native network. The results of the experiments show that the proposed scheme is both feasible and effective.KeywordsDigital twinVirtual-reality fusionCloud-native network